mirror of
https://github.com/ClickHouse/ClickHouse.git
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1105 lines
45 KiB
C++
1105 lines
45 KiB
C++
#pragma once
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#include <AggregateFunctions/AggregateFunctionFactory.h>
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#include <Columns/ColumnAggregateFunction.h>
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#include <Columns/ColumnArray.h>
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#include <Columns/ColumnConst.h>
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#include <Columns/ColumnVector.h>
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#include <Columns/ColumnsNumber.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/IFunctionImpl.h>
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#include <Common/typeid_cast.h>
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#include <Common/assert_cast.h>
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// TODO include this last because of a broken roaring header. See the comment
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// inside.
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#include <AggregateFunctions/AggregateFunctionGroupBitmapData.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int LOGICAL_ERROR;
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}
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/** Bitmap functions.
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* Build a bitmap from integer array:
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* bitmapBuild: integer[] -> bitmap
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*
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* Convert bitmap to integer array:
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* bitmapToArray: bitmap -> integer[]
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*
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* Retrun the smallest value in the set:
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* bitmapMin: bitmap -> integer
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*
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* Retrun the greatest value in the set:
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* bitmapMax: bitmap -> integer
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*
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* Return subset in specified range (not include the range_end):
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* bitmapSubsetInRange: bitmap,integer,integer -> bitmap
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*
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* Return subset of the smallest `limit` values in set which is no smaller than `range_start`.
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* bitmapSubsetLimit: bitmap,integer,integer -> bitmap
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*
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* Transform an array of values in a bitmap to another array of values, the result is a new bitmap.
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* bitmapTransform: bitmap,integer[],integer[] -> bitmap
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*
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* Two bitmap and calculation:
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* bitmapAnd: bitmap,bitmap -> bitmap
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*
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* Two bitmap or calculation:
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* bitmapOr: bitmap,bitmap -> bitmap
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*
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* Two bitmap xor calculation:
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* bitmapXor: bitmap,bitmap -> bitmap
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*
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* Two bitmap andnot calculation:
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* bitmapAndnot: bitmap,bitmap -> bitmap
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*
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* Retrun bitmap cardinality:
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* bitmapCardinality: bitmap -> integer
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*
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* Two bitmap and calculation, return cardinality:
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* bitmapAndCardinality: bitmap,bitmap -> integer
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*
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* Two bitmap or calculation, return cardinality:
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* bitmapOrCardinality: bitmap,bitmap -> integer
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*
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* Two bitmap xor calculation, return cardinality:
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* bitmapXorCardinality: bitmap,bitmap -> integer
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*
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* Two bitmap andnot calculation, return cardinality:
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* bitmapAndnotCardinality: bitmap,bitmap -> integer
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*
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* Determine if a bitmap contains the given integer:
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* bitmapContains: bitmap,integer -> bool
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*
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* Judge if a bitmap is superset of the another one:
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* bitmapHasAll: bitmap,bitmap -> bool
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*
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* Judge if the intersection of two bitmap is nonempty:
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* bitmapHasAny: bitmap,bitmap -> bool
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*/
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template <typename Name>
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class FunctionBitmapBuildImpl : public IFunction
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{
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapBuildImpl>(); }
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String getName() const override { return name; }
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bool isVariadic() const override { return false; }
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size_t getNumberOfArguments() const override { return 1; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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if (arguments[0]->onlyNull())
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return arguments[0];
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auto array_type = typeid_cast<const DataTypeArray *>(arguments[0].get());
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if (!array_type)
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throw Exception(
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"First argument for function " + getName() + " must be an array but it has type " + arguments[0]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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auto nested_type = array_type->getNestedType();
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DataTypes argument_types = {nested_type};
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Array params_row;
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AggregateFunctionPtr bitmap_function
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= AggregateFunctionFactory::instance().get(AggregateFunctionGroupBitmapData<UInt32>::name(), argument_types, params_row);
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return std::make_shared<DataTypeAggregateFunction>(bitmap_function, argument_types, params_row);
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}
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bool useDefaultImplementationForConstants() const override { return true; }
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void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t /* input_rows_count */) override
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{
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const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
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auto array_type = typeid_cast<const DataTypeArray *>(from_type);
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auto nested_type = array_type->getNestedType();
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DataTypes argument_types = {nested_type};
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WhichDataType which(nested_type);
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if (which.isUInt8())
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executeBitmapData<UInt8>(block, argument_types, arguments, result);
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else if (which.isUInt16())
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executeBitmapData<UInt16>(block, argument_types, arguments, result);
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else if (which.isUInt32())
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executeBitmapData<UInt32>(block, argument_types, arguments, result);
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else if (which.isUInt64())
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executeBitmapData<UInt64>(block, argument_types, arguments, result);
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else
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throw Exception(
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"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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}
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private:
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template <typename T>
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void executeBitmapData(Block & block, DataTypes & argument_types, const ColumnNumbers & arguments, size_t result)
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{
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// input data
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const ColumnArray * array = typeid_cast<const ColumnArray *>(block.getByPosition(arguments[0]).column.get());
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ColumnPtr mapped = array->getDataPtr();
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const ColumnArray::Offsets & offsets = array->getOffsets();
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const ColumnVector<T> * column = checkAndGetColumn<ColumnVector<T>>(&*mapped);
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const typename ColumnVector<T>::Container & input_data = column->getData();
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// output data
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Array params_row;
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AggregateFunctionPtr bitmap_function
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= AggregateFunctionFactory::instance().get(AggregateFunctionGroupBitmapData<UInt32>::name(), argument_types, params_row);
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auto col_to = ColumnAggregateFunction::create(bitmap_function);
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col_to->reserve(offsets.size());
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size_t pos = 0;
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for (size_t i = 0; i < offsets.size(); ++i)
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{
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col_to->insertDefault();
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AggregateFunctionGroupBitmapData<T> & bitmap_data
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= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
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for (; pos < offsets[i]; ++pos)
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{
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bitmap_data.rbs.add(input_data[pos]);
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}
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}
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block.getByPosition(result).column = std::move(col_to);
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}
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};
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template <typename Name>
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class FunctionBitmapToArrayImpl : public IFunction
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{
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public:
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static constexpr auto name = Name::name;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapToArrayImpl>(); }
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String getName() const override { return name; }
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bool isVariadic() const override { return false; }
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size_t getNumberOfArguments() const override { return 1; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
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if (!(bitmap_type && bitmap_type->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
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throw Exception(
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"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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const DataTypePtr data_type = bitmap_type->getArgumentsDataTypes()[0];
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return std::make_shared<DataTypeArray>(data_type);
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}
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bool useDefaultImplementationForConstants() const override { return true; }
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void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
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{
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// input data
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const auto & return_type = block.getByPosition(result).type;
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auto res_ptr = return_type->createColumn();
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ColumnArray & res = assert_cast<ColumnArray &>(*res_ptr);
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IColumn & res_data = res.getData();
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ColumnArray::Offsets & res_offsets = res.getOffsets();
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const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
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const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
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WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
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if (which.isUInt8())
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executeIntType<UInt8>(block, arguments, input_rows_count, res_data, res_offsets);
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else if (which.isUInt16())
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executeIntType<UInt16>(block, arguments, input_rows_count, res_data, res_offsets);
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else if (which.isUInt32())
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executeIntType<UInt32>(block, arguments, input_rows_count, res_data, res_offsets);
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else if (which.isUInt64())
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executeIntType<UInt64>(block, arguments, input_rows_count, res_data, res_offsets);
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else
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throw Exception(
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"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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block.getByPosition(result).column = std::move(res_ptr);
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}
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private:
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using ToType = UInt64;
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template <typename T>
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void executeIntType(
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Block & block, const ColumnNumbers & arguments, size_t input_rows_count, IColumn & res_data_col, ColumnArray::Offsets & res_offsets)
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const
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{
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const ColumnAggregateFunction * column
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= typeid_cast<const ColumnAggregateFunction *>(block.getByPosition(arguments[0]).column.get());
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PaddedPODArray<T> & res_data = typeid_cast<ColumnVector<T> &>(res_data_col).getData();
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ColumnArray::Offset res_offset = 0;
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for (size_t i = 0; i < input_rows_count; ++i)
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{
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const AggregateFunctionGroupBitmapData<T> & bitmap_data_1
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= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(column->getData()[i]);
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UInt64 count = bitmap_data_1.rbs.rb_to_array(res_data);
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res_offset += count;
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res_offsets.emplace_back(res_offset);
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}
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}
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};
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template <typename Impl>
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class FunctionBitmapSubset : public IFunction
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{
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public:
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static constexpr auto name = Impl::name;
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapSubset<Impl>>(); }
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String getName() const override { return name; }
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bool isVariadic() const override { return false; }
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size_t getNumberOfArguments() const override { return 3; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
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if (!(bitmap_type && bitmap_type->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
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throw Exception(
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"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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auto arg_type1 = typeid_cast<const DataTypeNumber<UInt32> *>(arguments[1].get());
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if (!(arg_type1))
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throw Exception(
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"Second argument for function " + getName() + " must be UInt32 but it has type " + arguments[1]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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auto arg_type2 = typeid_cast<const DataTypeNumber<UInt32> *>(arguments[1].get());
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if (!(arg_type2))
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throw Exception(
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"Third argument for function " + getName() + " must be UInt32 but it has type " + arguments[2]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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return arguments[0];
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}
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bool useDefaultImplementationForConstants() const override { return true; }
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void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
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{
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const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
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const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
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WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
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if (which.isUInt8())
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executeIntType<UInt8>(block, arguments, result, input_rows_count);
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else if (which.isUInt16())
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executeIntType<UInt16>(block, arguments, result, input_rows_count);
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else if (which.isUInt32())
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executeIntType<UInt32>(block, arguments, result, input_rows_count);
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else if (which.isUInt64())
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executeIntType<UInt64>(block, arguments, result, input_rows_count);
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else
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throw Exception(
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"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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}
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private:
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using ToType = UInt64;
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template <typename T>
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void executeIntType(
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Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count)
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const
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{
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const IColumn * columns[3];
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bool is_column_const[3];
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const ColumnAggregateFunction * col_agg_func;
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const PaddedPODArray<AggregateDataPtr> * container0;
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const PaddedPODArray<UInt32> * container1, * container2;
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for (size_t i = 0; i < 3; ++i)
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{
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columns[i] = block.getByPosition(arguments[i]).column.get();
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is_column_const[i] = isColumnConst(*columns[i]);
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}
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if (is_column_const[0])
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col_agg_func = typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(columns[0])->getDataColumnPtr().get());
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else
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col_agg_func = typeid_cast<const ColumnAggregateFunction*>(columns[0]);
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container0 = &col_agg_func->getData();
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if (is_column_const[1])
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container1 = &typeid_cast<const ColumnUInt32*>(typeid_cast<const ColumnConst*>(columns[1])->getDataColumnPtr().get())->getData();
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else
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container1 = &typeid_cast<const ColumnUInt32*>(columns[1])->getData();
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if (is_column_const[2])
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container2 = &typeid_cast<const ColumnUInt32*>(typeid_cast<const ColumnConst*>(columns[2])->getDataColumnPtr().get())->getData();
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else
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container2 = &typeid_cast<const ColumnUInt32*>(columns[2])->getData();
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auto col_to = ColumnAggregateFunction::create(col_agg_func->getAggregateFunction());
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col_to->reserve(input_rows_count);
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for (size_t i = 0; i < input_rows_count; ++i)
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{
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const AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
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const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
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= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T>*>(data_ptr_0);
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const UInt32 range_start = is_column_const[1] ? (*container1)[0] : (*container1)[i];
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const UInt32 range_end = is_column_const[2] ? (*container2)[0] : (*container2)[i];
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col_to->insertDefault();
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AggregateFunctionGroupBitmapData<T> & bitmap_data_2
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= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
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Impl::apply(bitmap_data_0, range_start, range_end, bitmap_data_2);
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}
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block.getByPosition(result).column = std::move(col_to);
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}
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};
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struct BitmapSubsetInRangeImpl
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{
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public:
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static constexpr auto name = "bitmapSubsetInRange";
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template <typename T>
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static void apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_0, UInt32 range_start, UInt32 range_end, AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
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{
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bitmap_data_0.rbs.rb_range(range_start, range_end, bitmap_data_2.rbs);
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}
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};
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struct BitmapSubsetLimitImpl
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{
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public:
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static constexpr auto name = "bitmapSubsetLimit";
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template <typename T>
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static void apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_0, UInt32 range_start, UInt32 range_end, AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
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{
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bitmap_data_0.rbs.rb_limit(range_start, range_end, bitmap_data_2.rbs);
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}
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};
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using FunctionBitmapSubsetInRange = FunctionBitmapSubset<BitmapSubsetInRangeImpl>;
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using FunctionBitmapSubsetLimit = FunctionBitmapSubset<BitmapSubsetLimitImpl>;
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class FunctionBitmapTransform : public IFunction
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{
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public:
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static constexpr auto name = "bitmapTransform";
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static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapTransform>(); }
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String getName() const override { return name; }
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bool isVariadic() const override { return false; }
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size_t getNumberOfArguments() const override { return 3; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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const DataTypeAggregateFunction * bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
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if (!(bitmap_type && bitmap_type->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
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throw Exception(
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"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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for (size_t i = 0; i < 2; ++i)
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{
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auto array_type = typeid_cast<const DataTypeArray *>(arguments[i + 1].get());
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String msg(i == 0 ? "Second" : "Third");
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msg += " argument for function " + getName() + " must be an UInt32 array but it has type " + arguments[i + 1]->getName() + ".";
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if (!array_type)
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throw Exception(msg, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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auto nested_type = array_type->getNestedType();
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WhichDataType which(nested_type);
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if (!which.isUInt32())
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throw Exception(msg, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
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}
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return arguments[0];
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}
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bool useDefaultImplementationForConstants() const override { return true; }
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void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
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{
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const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
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const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
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WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
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if (which.isUInt8())
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executeIntType<UInt8>(block, arguments, result, input_rows_count);
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else if (which.isUInt16())
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executeIntType<UInt16>(block, arguments, result, input_rows_count);
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else if (which.isUInt32())
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executeIntType<UInt32>(block, arguments, result, input_rows_count);
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else if (which.isUInt64())
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executeIntType<UInt64>(block, arguments, result, input_rows_count);
|
|
else
|
|
throw Exception(
|
|
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
}
|
|
|
|
private:
|
|
using ToType = UInt64;
|
|
|
|
template <typename T>
|
|
void executeIntType(
|
|
Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) const
|
|
{
|
|
const IColumn * columns[3];
|
|
bool is_column_const[3];
|
|
const ColumnAggregateFunction * col_agg_func;
|
|
const PaddedPODArray<AggregateDataPtr> * container0;
|
|
const ColumnArray * array;
|
|
|
|
for (size_t i = 0; i < 3; ++i)
|
|
{
|
|
columns[i] = block.getByPosition(arguments[i]).column.get();
|
|
is_column_const[i] = isColumnConst(*columns[i]);
|
|
}
|
|
if (is_column_const[0])
|
|
{
|
|
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(columns[0])->getDataColumnPtr().get());
|
|
}
|
|
else
|
|
{
|
|
col_agg_func = typeid_cast<const ColumnAggregateFunction*>(columns[0]);
|
|
}
|
|
container0 = &col_agg_func->getData();
|
|
|
|
if (is_column_const[1])
|
|
array = typeid_cast<const ColumnArray*>(typeid_cast<const ColumnConst*>(columns[1])->getDataColumnPtr().get());
|
|
else
|
|
{
|
|
array = typeid_cast<const ColumnArray *>(block.getByPosition(arguments[1]).column.get());
|
|
}
|
|
const ColumnArray::Offsets & from_offsets = array->getOffsets();
|
|
const ColumnVector<UInt32>::Container & from_container = typeid_cast<const ColumnVector<UInt32> *>(&array->getData())->getData();
|
|
|
|
if (is_column_const[2])
|
|
array = typeid_cast<const ColumnArray*>(typeid_cast<const ColumnConst*>(columns[2])->getDataColumnPtr().get());
|
|
else
|
|
array = typeid_cast<const ColumnArray *>(block.getByPosition(arguments[2]).column.get());
|
|
|
|
const ColumnArray::Offsets & to_offsets = array->getOffsets();
|
|
const ColumnVector<UInt32>::Container & to_container = typeid_cast<const ColumnVector<UInt32> *>(&array->getData())->getData();
|
|
auto col_to = ColumnAggregateFunction::create(col_agg_func->getAggregateFunction());
|
|
col_to->reserve(input_rows_count);
|
|
|
|
size_t from_start;
|
|
size_t from_end;
|
|
size_t to_start;
|
|
size_t to_end;
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
const AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_0);
|
|
if (is_column_const[1])
|
|
{
|
|
from_start = 0;
|
|
from_end = from_container.size();
|
|
}
|
|
else
|
|
{
|
|
from_start = i == 0 ? 0 : from_offsets[i - 1];
|
|
from_end = from_offsets[i];
|
|
}
|
|
if (is_column_const[2])
|
|
{
|
|
to_start = 0;
|
|
to_end = to_container.size();
|
|
}
|
|
else
|
|
{
|
|
to_start = i == 0 ? 0 : to_offsets[i - 1];
|
|
to_end = to_offsets[i];
|
|
}
|
|
if (from_end - from_start != to_end - to_start)
|
|
throw Exception("From array size and to array size mismatch", ErrorCodes::LOGICAL_ERROR);
|
|
|
|
col_to->insertDefault();
|
|
AggregateFunctionGroupBitmapData<T> & bitmap_data_2
|
|
= *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
|
|
bitmap_data_2.rbs.merge(bitmap_data_0.rbs);
|
|
bitmap_data_2.rbs.rb_replace(&from_container[from_start], &to_container[to_start], from_end - from_start);
|
|
}
|
|
block.getByPosition(result).column = std::move(col_to);
|
|
}
|
|
};
|
|
|
|
template <typename Impl>
|
|
class FunctionBitmapSelfCardinalityImpl : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = Impl::name;
|
|
|
|
static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapSelfCardinalityImpl<Impl>>(); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
bool isVariadic() const override { return false; }
|
|
|
|
size_t getNumberOfArguments() const override { return 1; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
|
|
{
|
|
auto bitmap_type = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
|
|
if (!(bitmap_type && bitmap_type->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
return std::make_shared<DataTypeNumber<ToType>>();
|
|
}
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
|
|
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
|
|
{
|
|
auto col_to = ColumnVector<ToType>::create(input_rows_count);
|
|
typename ColumnVector<ToType>::Container & vec_to = col_to->getData();
|
|
const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
|
|
|
|
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
|
|
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
|
|
if (which.isUInt8())
|
|
executeIntType<UInt8>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt16())
|
|
executeIntType<UInt16>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt32())
|
|
executeIntType<UInt32>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt64())
|
|
executeIntType<UInt64>(block, arguments, input_rows_count, vec_to);
|
|
else
|
|
throw Exception(
|
|
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
block.getByPosition(result).column = std::move(col_to);
|
|
}
|
|
|
|
private:
|
|
using ToType = UInt64;
|
|
|
|
template <typename T>
|
|
void executeIntType(
|
|
Block & block, const ColumnNumbers & arguments, size_t input_rows_count, typename ColumnVector<ToType>::Container & vec_to)
|
|
{
|
|
const ColumnAggregateFunction * column
|
|
= typeid_cast<const ColumnAggregateFunction *>(block.getByPosition(arguments[0]).column.get());
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(column->getData()[i]);
|
|
vec_to[i] = Impl::apply(bitmap_data);
|
|
}
|
|
}
|
|
};
|
|
|
|
struct BitmapCardinalityImpl
|
|
{
|
|
public:
|
|
static constexpr auto name = "bitmapCardinality";
|
|
template <typename T>
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
|
|
{
|
|
return bitmap_data.rbs.size();
|
|
}
|
|
};
|
|
|
|
struct BitmapMinImpl
|
|
{
|
|
public:
|
|
static constexpr auto name = "bitmapMin";
|
|
template <typename T>
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
|
|
{
|
|
return bitmap_data.rbs.rb_min();
|
|
}
|
|
};
|
|
|
|
struct BitmapMaxImpl
|
|
{
|
|
public:
|
|
static constexpr auto name = "bitmapMax";
|
|
template <typename T>
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data)
|
|
{
|
|
return bitmap_data.rbs.rb_max();
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapAndCardinalityImpl
|
|
{
|
|
using ReturnType = UInt64;
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
// roaring_bitmap_and_cardinality( rb1, rb2 );
|
|
return bitmap_data_1.rbs.rb_and_cardinality(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
|
|
template <typename T>
|
|
struct BitmapOrCardinalityImpl
|
|
{
|
|
using ReturnType = UInt64;
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
// return roaring_bitmap_or_cardinality( rb1, rb2 );
|
|
return bitmap_data_1.rbs.rb_or_cardinality(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapXorCardinalityImpl
|
|
{
|
|
using ReturnType = UInt64;
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
// return roaring_bitmap_xor_cardinality( rb1, rb2 );
|
|
return bitmap_data_1.rbs.rb_xor_cardinality(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapAndnotCardinalityImpl
|
|
{
|
|
using ReturnType = UInt64;
|
|
static UInt64 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
// roaring_bitmap_andnot_cardinality( rb1, rb2 );
|
|
return bitmap_data_1.rbs.rb_andnot_cardinality(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapHasAllImpl
|
|
{
|
|
using ReturnType = UInt8;
|
|
static UInt8 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
return bitmap_data_1.rbs.rb_is_subset(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapHasAnyImpl
|
|
{
|
|
using ReturnType = UInt8;
|
|
static UInt8 apply(const AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
return bitmap_data_1.rbs.rb_intersect(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
class FunctionBitmapContains : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = "bitmapContains";
|
|
|
|
static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapContains>(); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
bool isVariadic() const override { return false; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
|
|
{
|
|
auto bitmap_type0 = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
|
|
if (!(bitmap_type0 && bitmap_type0->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
auto arg_type1 = typeid_cast<const DataTypeNumber<UInt32> *>(arguments[1].get());
|
|
if (!(arg_type1))
|
|
throw Exception(
|
|
"Second argument for function " + getName() + " must be UInt32 but it has type " + arguments[1]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
return std::make_shared<DataTypeNumber<UInt8>>();
|
|
}
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
|
|
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
|
|
{
|
|
auto col_to = ColumnVector<UInt8>::create(input_rows_count);
|
|
typename ColumnVector<UInt8>::Container & vec_to = col_to->getData();
|
|
const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
|
|
|
|
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
|
|
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
|
|
if (which.isUInt8())
|
|
executeIntType<UInt8>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt16())
|
|
executeIntType<UInt16>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt32())
|
|
executeIntType<UInt32>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt64())
|
|
executeIntType<UInt64>(block, arguments, input_rows_count, vec_to);
|
|
else
|
|
throw Exception(
|
|
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
block.getByPosition(result).column = std::move(col_to);
|
|
}
|
|
|
|
private:
|
|
template <typename T>
|
|
void executeIntType(
|
|
Block & block, const ColumnNumbers & arguments, size_t input_rows_count, typename ColumnVector<UInt8>::Container & vec_to)
|
|
{
|
|
const IColumn * columns[2];
|
|
bool is_column_const[2];
|
|
const PaddedPODArray<AggregateDataPtr> * container0;
|
|
const PaddedPODArray<UInt32> * container1;
|
|
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
columns[i] = block.getByPosition(arguments[i]).column.get();
|
|
is_column_const[i] = isColumnConst(*columns[i]);
|
|
}
|
|
if (is_column_const[0])
|
|
container0 = &typeid_cast<const ColumnAggregateFunction*>(typeid_cast<const ColumnConst*>(columns[0])->getDataColumnPtr().get())->getData();
|
|
else
|
|
container0 = &typeid_cast<const ColumnAggregateFunction*>(columns[0])->getData();
|
|
if (is_column_const[1])
|
|
container1 = &typeid_cast<const ColumnUInt32*>(typeid_cast<const ColumnConst*>(columns[1])->getDataColumnPtr().get())->getData();
|
|
else
|
|
container1 = &typeid_cast<const ColumnUInt32*>(columns[1])->getData();
|
|
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
const AggregateDataPtr data_ptr_0 = is_column_const[0] ? (*container0)[0] : (*container0)[i];
|
|
const UInt32 data1 = is_column_const[1] ? (*container1)[0] : (*container1)[i];
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data_0
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_0);
|
|
vec_to[i] = bitmap_data_0.rbs.rb_contains(data1);
|
|
}
|
|
}
|
|
};
|
|
|
|
template <template <typename> class Impl, typename Name, typename ToType>
|
|
class FunctionBitmapCardinality : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = Name::name;
|
|
|
|
static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmapCardinality>(); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
bool isVariadic() const override { return false; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
|
|
{
|
|
auto bitmap_type0 = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
|
|
if (!(bitmap_type0 && bitmap_type0->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
auto bitmap_type1 = typeid_cast<const DataTypeAggregateFunction *>(arguments[1].get());
|
|
if (!(bitmap_type1 && bitmap_type1->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"Second argument for function " + getName() + " must be a bitmap but it has type " + arguments[1]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
if (bitmap_type0->getArgumentsDataTypes()[0]->getTypeId() != bitmap_type1->getArgumentsDataTypes()[0]->getTypeId())
|
|
throw Exception(
|
|
"The nested type in bitmaps must be the same, but one is " + bitmap_type0->getArgumentsDataTypes()[0]->getName()
|
|
+ ", and the other is " + bitmap_type1->getArgumentsDataTypes()[0]->getName(),
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
return std::make_shared<DataTypeNumber<ToType>>();
|
|
}
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
|
|
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
|
|
{
|
|
auto col_to = ColumnVector<ToType>::create(input_rows_count);
|
|
typename ColumnVector<ToType>::Container & vec_to = col_to->getData();
|
|
const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
|
|
|
|
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
|
|
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
|
|
if (which.isUInt8())
|
|
executeIntType<UInt8>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt16())
|
|
executeIntType<UInt16>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt32())
|
|
executeIntType<UInt32>(block, arguments, input_rows_count, vec_to);
|
|
else if (which.isUInt64())
|
|
executeIntType<UInt64>(block, arguments, input_rows_count, vec_to);
|
|
else
|
|
throw Exception(
|
|
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
block.getByPosition(result).column = std::move(col_to);
|
|
}
|
|
|
|
private:
|
|
template <typename T>
|
|
void executeIntType(
|
|
Block & block, const ColumnNumbers & arguments, size_t input_rows_count, typename ColumnVector<ToType>::Container & vec_to)
|
|
{
|
|
const ColumnAggregateFunction * columns[2];
|
|
bool is_column_const[2];
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
if (auto argument_column_const = checkAndGetColumn<ColumnConst>(block.getByPosition(arguments[i]).column.get()))
|
|
{
|
|
columns[i] = typeid_cast<const ColumnAggregateFunction*>(argument_column_const->getDataColumnPtr().get());
|
|
is_column_const[i] = true;
|
|
}
|
|
else
|
|
{
|
|
columns[i] = typeid_cast<const ColumnAggregateFunction*>(block.getByPosition(arguments[i]).column.get());
|
|
is_column_const[i] = false;
|
|
}
|
|
}
|
|
|
|
const PaddedPODArray<AggregateDataPtr> & container0 = columns[0]->getData();
|
|
const PaddedPODArray<AggregateDataPtr> & container1 = columns[1]->getData();
|
|
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
const AggregateDataPtr data_ptr_0 = is_column_const[0] ? container0[0] : container0[i];
|
|
const AggregateDataPtr data_ptr_1 = is_column_const[1] ? container1[0] : container1[i];
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data_1
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_0);
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data_2
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_1);
|
|
vec_to[i] = Impl<T>::apply(bitmap_data_1, bitmap_data_2);
|
|
}
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapAndImpl
|
|
{
|
|
static void apply(AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
bitmap_data_1.rbs.rb_and(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapOrImpl
|
|
{
|
|
static void apply(AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
bitmap_data_1.rbs.rb_or(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapXorImpl
|
|
{
|
|
static void apply(AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
bitmap_data_1.rbs.rb_xor(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct BitmapAndnotImpl
|
|
{
|
|
static void apply(AggregateFunctionGroupBitmapData<T> & bitmap_data_1, const AggregateFunctionGroupBitmapData<T> & bitmap_data_2)
|
|
{
|
|
bitmap_data_1.rbs.rb_andnot(bitmap_data_2.rbs);
|
|
}
|
|
};
|
|
|
|
template <template <typename> class Impl, typename Name>
|
|
class FunctionBitmap : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = Name::name;
|
|
|
|
static FunctionPtr create(const Context &) { return std::make_shared<FunctionBitmap>(); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
bool isVariadic() const override { return false; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
|
|
{
|
|
auto bitmap_type0 = typeid_cast<const DataTypeAggregateFunction *>(arguments[0].get());
|
|
if (!(bitmap_type0 && bitmap_type0->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"First argument for function " + getName() + " must be a bitmap but it has type " + arguments[0]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
auto bitmap_type1 = typeid_cast<const DataTypeAggregateFunction *>(arguments[1].get());
|
|
if (!(bitmap_type1 && bitmap_type1->getFunctionName() == AggregateFunctionGroupBitmapData<UInt32>::name()))
|
|
throw Exception(
|
|
"Second argument for function " + getName() + " must be a bitmap but it has type " + arguments[1]->getName() + ".",
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
if (bitmap_type0->getArgumentsDataTypes()[0]->getTypeId() != bitmap_type1->getArgumentsDataTypes()[0]->getTypeId())
|
|
throw Exception(
|
|
"The nested type in bitmaps must be the same, but one is " + bitmap_type0->getArgumentsDataTypes()[0]->getName()
|
|
+ ", and the other is " + bitmap_type1->getArgumentsDataTypes()[0]->getName(),
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
return arguments[0];
|
|
}
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
|
|
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) override
|
|
{
|
|
const IDataType * from_type = block.getByPosition(arguments[0]).type.get();
|
|
const DataTypeAggregateFunction * aggr_type = typeid_cast<const DataTypeAggregateFunction *>(from_type);
|
|
WhichDataType which(aggr_type->getArgumentsDataTypes()[0]);
|
|
if (which.isUInt8())
|
|
executeBitmapData<UInt8>(block, arguments, result, input_rows_count);
|
|
else if (which.isUInt16())
|
|
executeBitmapData<UInt16>(block, arguments, result, input_rows_count);
|
|
else if (which.isUInt32())
|
|
executeBitmapData<UInt32>(block, arguments, result, input_rows_count);
|
|
else if (which.isUInt64())
|
|
executeBitmapData<UInt64>(block, arguments, result, input_rows_count);
|
|
else
|
|
throw Exception(
|
|
"Unexpected type " + from_type->getName() + " of argument of function " + getName(), ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
}
|
|
|
|
private:
|
|
template <typename T>
|
|
void executeBitmapData(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count)
|
|
{
|
|
const ColumnAggregateFunction * columns[2];
|
|
bool is_column_const[2];
|
|
for (size_t i = 0; i < 2; ++i)
|
|
{
|
|
if (auto argument_column_const = typeid_cast<const ColumnConst *>(block.getByPosition(arguments[i]).column.get()))
|
|
{
|
|
columns[i] = typeid_cast<const ColumnAggregateFunction *>(argument_column_const->getDataColumnPtr().get());
|
|
is_column_const[i] = true;
|
|
}
|
|
else
|
|
{
|
|
columns[i] = typeid_cast<const ColumnAggregateFunction *>(block.getByPosition(arguments[i]).column.get());
|
|
is_column_const[i] = false;
|
|
}
|
|
}
|
|
|
|
auto col_to = ColumnAggregateFunction::create(columns[0]->getAggregateFunction());
|
|
|
|
col_to->reserve(input_rows_count);
|
|
|
|
const PaddedPODArray<AggregateDataPtr> & container0 = columns[0]->getData();
|
|
const PaddedPODArray<AggregateDataPtr> & container1 = columns[1]->getData();
|
|
|
|
for (size_t i = 0; i < input_rows_count; ++i)
|
|
{
|
|
const AggregateDataPtr data_ptr_0 = is_column_const[0] ? container0[0] : container0[i];
|
|
const AggregateDataPtr data_ptr_1 = is_column_const[1] ? container1[0] : container1[i];
|
|
|
|
col_to->insertFrom(data_ptr_0);
|
|
AggregateFunctionGroupBitmapData<T> & bitmap_data_1 = *reinterpret_cast<AggregateFunctionGroupBitmapData<T> *>(col_to->getData()[i]);
|
|
const AggregateFunctionGroupBitmapData<T> & bitmap_data_2
|
|
= *reinterpret_cast<const AggregateFunctionGroupBitmapData<T> *>(data_ptr_1);
|
|
Impl<T>::apply(bitmap_data_1, bitmap_data_2);
|
|
}
|
|
block.getByPosition(result).column = std::move(col_to);
|
|
}
|
|
};
|
|
|
|
struct NameBitmapBuild
|
|
{
|
|
static constexpr auto name = "bitmapBuild";
|
|
};
|
|
using FunctionBitmapBuild = FunctionBitmapBuildImpl<NameBitmapBuild>;
|
|
|
|
struct NameBitmapToArray
|
|
{
|
|
static constexpr auto name = "bitmapToArray";
|
|
};
|
|
using FunctionBitmapToArray = FunctionBitmapToArrayImpl<NameBitmapToArray>;
|
|
|
|
struct NameBitmapCardinality
|
|
{
|
|
static constexpr auto name = "bitmapCardinality";
|
|
};
|
|
struct NameBitmapAndCardinality
|
|
{
|
|
static constexpr auto name = "bitmapAndCardinality";
|
|
};
|
|
struct NameBitmapOrCardinality
|
|
{
|
|
static constexpr auto name = "bitmapOrCardinality";
|
|
};
|
|
struct NameBitmapXorCardinality
|
|
{
|
|
static constexpr auto name = "bitmapXorCardinality";
|
|
};
|
|
struct NameBitmapAndnotCardinality
|
|
{
|
|
static constexpr auto name = "bitmapAndnotCardinality";
|
|
};
|
|
struct NameBitmapHasAll
|
|
{
|
|
static constexpr auto name = "bitmapHasAll";
|
|
};
|
|
struct NameBitmapHasAny
|
|
{
|
|
static constexpr auto name = "bitmapHasAny";
|
|
};
|
|
|
|
using FunctionBitmapSelfCardinality = FunctionBitmapSelfCardinalityImpl<BitmapCardinalityImpl>;
|
|
using FunctionBitmapMin = FunctionBitmapSelfCardinalityImpl<BitmapMinImpl>;
|
|
using FunctionBitmapMax = FunctionBitmapSelfCardinalityImpl<BitmapMaxImpl>;
|
|
using FunctionBitmapAndCardinality = FunctionBitmapCardinality<BitmapAndCardinalityImpl, NameBitmapAndCardinality, UInt64>;
|
|
using FunctionBitmapOrCardinality = FunctionBitmapCardinality<BitmapOrCardinalityImpl, NameBitmapOrCardinality, UInt64>;
|
|
using FunctionBitmapXorCardinality = FunctionBitmapCardinality<BitmapXorCardinalityImpl, NameBitmapXorCardinality, UInt64>;
|
|
using FunctionBitmapAndnotCardinality = FunctionBitmapCardinality<BitmapAndnotCardinalityImpl, NameBitmapAndnotCardinality, UInt64>;
|
|
using FunctionBitmapHasAll = FunctionBitmapCardinality<BitmapHasAllImpl, NameBitmapHasAll, UInt8>;
|
|
using FunctionBitmapHasAny = FunctionBitmapCardinality<BitmapHasAnyImpl, NameBitmapHasAny, UInt8>;
|
|
|
|
struct NameBitmapAnd
|
|
{
|
|
static constexpr auto name = "bitmapAnd";
|
|
};
|
|
struct NameBitmapOr
|
|
{
|
|
static constexpr auto name = "bitmapOr";
|
|
};
|
|
struct NameBitmapXor
|
|
{
|
|
static constexpr auto name = "bitmapXor";
|
|
};
|
|
struct NameBitmapAndnot
|
|
{
|
|
static constexpr auto name = "bitmapAndnot";
|
|
};
|
|
using FunctionBitmapAnd = FunctionBitmap<BitmapAndImpl, NameBitmapAnd>;
|
|
using FunctionBitmapOr = FunctionBitmap<BitmapOrImpl, NameBitmapOr>;
|
|
using FunctionBitmapXor = FunctionBitmap<BitmapXorImpl, NameBitmapXor>;
|
|
using FunctionBitmapAndnot = FunctionBitmap<BitmapAndnotImpl, NameBitmapAndnot>;
|
|
|
|
|
|
}
|